Clinical Epidemiology
Volume 14, 2022 - Issue
Open access
116
Views
0
CrossRef citations to date
0
Altmetric
Letter
Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Letter]
Morten Baltzer Houlind1 Department of Clinical Research, Copenhagen University Hospital – Amager and Hvidovre, Hvidovre, Denmark;2 The Capital Region Pharmacy, Herlev, Denmark;3 Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark;4 Emergency Department, Copenhagen University Hospital – Amager & Hvidovre, Hvidovre, DenmarkCorrespondence[email protected]
https://orcid.org/0000-0003-4058-3012View further author information
Esben Iversen1 Department of Clinical Research, Copenhagen University Hospital – Amager and Hvidovre, Hvidovre, Denmark
https://orcid.org/0000-0002-7558-9257View further author information
Baker Nawfal Jawad1 Department of Clinical Research, Copenhagen University Hospital – Amager and Hvidovre, Hvidovre, Denmark
https://orcid.org/0000-0002-6915-744XView further author information
Thomas Kallemose1 Department of Clinical Research, Copenhagen University Hospital – Amager and Hvidovre, Hvidovre, Denmark
https://orcid.org/0000-0002-7356-6481View further author information
Mads Hornum5 Department of Nephrology, Copenhagen University Hospital – Rigshospitalet, Copenhagen, Denmark;6 Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
https://orcid.org/0000-0002-0123-4007View further author information
Pages 763-764
|
Published online: 09 Jun 2022
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.